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| author | Φφ <42910943+Brawlence@users.noreply.github.com> | 2023-03-09 04:56:19 +0000 |
|---|---|---|
| committer | Φφ <42910943+Brawlence@users.noreply.github.com> | 2023-03-21 06:28:50 +0000 |
| commit | 4cbbb881ee530d9b9ba18027e2b0057e6a2c4ee1 (patch) | |
| tree | 943c119f18a0aa7a748f95c989f73e3a9a69a1c3 /modules/sd_models.py | |
| parent | a9fed7c364061ae6efb37f797b6b522cb3cf7aa2 (diff) | |
| download | stable-diffusion-webui-gfx803-4cbbb881ee530d9b9ba18027e2b0057e6a2c4ee1.tar.gz stable-diffusion-webui-gfx803-4cbbb881ee530d9b9ba18027e2b0057e6a2c4ee1.tar.bz2 stable-diffusion-webui-gfx803-4cbbb881ee530d9b9ba18027e2b0057e6a2c4ee1.zip | |
Unload checkpoints on Request
…to free VRAM.
New Action buttons in the settings to manually free and reload checkpoints, essentially
juggling models between RAM and VRAM.
Diffstat (limited to 'modules/sd_models.py')
| -rw-r--r-- | modules/sd_models.py | 22 |
1 files changed, 21 insertions, 1 deletions
diff --git a/modules/sd_models.py b/modules/sd_models.py index f0cb1240..f9dd0521 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -494,7 +494,7 @@ def reload_model_weights(sd_model=None, info=None): if sd_model is None or checkpoint_config != sd_model.used_config:
del sd_model
checkpoints_loaded.clear()
- load_model(checkpoint_info, already_loaded_state_dict=state_dict, time_taken_to_load_state_dict=timer.records["load weights from disk"])
+ load_model(checkpoint_info, already_loaded_state_dict=state_dict)
return shared.sd_model
try:
@@ -517,3 +517,23 @@ def reload_model_weights(sd_model=None, info=None): print(f"Weights loaded in {timer.summary()}.")
return sd_model
+
+def unload_model_weights(sd_model=None, info=None):
+ from modules import lowvram, devices, sd_hijack
+ timer = Timer()
+
+ if shared.sd_model:
+
+ # shared.sd_model.cond_stage_model.to(devices.cpu)
+ # shared.sd_model.first_stage_model.to(devices.cpu)
+ shared.sd_model.to(devices.cpu)
+ sd_hijack.model_hijack.undo_hijack(shared.sd_model)
+ shared.sd_model = None
+ sd_model = None
+ gc.collect()
+ devices.torch_gc()
+ torch.cuda.empty_cache()
+
+ print(f"Unloaded weights {timer.summary()}.")
+
+ return sd_model
\ No newline at end of file |